Reweighted minimization model for MR image reconstruction with split Bregman method

被引：6
|
作者：
Zhang Hui [1 ]
Cheng LiZhi [1 ]
Li JianPing [1 ]
机构：
[1] Natl Univ Def & Technol, Coll Sci, Dept Math & Syst Sci, Changsha 410073, Hunan, Peoples R China
来源：
SCIENCE CHINA-INFORMATION SCIENCES | 2012年 / 55卷 / 09期
基金：
中国国家自然科学基金;
关键词：
reweighed minimization; split Bregman method; MR image; image reconstruction; L(1)-MINIMIZATION; ALGORITHMS;
D O I：
10.1007/s11432-011-4328-2
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Magnetic resonance (MR) image reconstruction is to get a practicable gray-scale image from few frequency domain coefficients. In this paper, different reweighted minimization models for MR image reconstruction are studied, and a novel model named reweighted wavelet+TV minimization model is proposed. By using split Bregman method, an iteration minimization algorithm for solving this new model is obtained, and its convergence is established. Numerical simulations show that the proposed model and its algorithm are feasible and highly efficient.
引用
收藏
页码：2109 / 2118
页数：10
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